Merge pull request #168 from IntelPython/randint_array_like_bounds #585
conda-package.yml
on: push
Matrix: build_linux
Matrix: build_windows
Matrix: test_linux
Matrix: test_windows
Annotations
5 warnings
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build_windows (3.14, 2.3)
WARNING conda.conda_pypi.main:notify_externally_managed_future(156):
Did you know? You can install many PyPI packages with conda
using the conda-pypi beta. Get started:
https://docs.conda.io/projects/conda/en/stable/new-features.html
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build_windows (3.13, 2.3)
WARNING conda.conda_pypi.main:notify_externally_managed_future(156):
Did you know? You can install many PyPI packages with conda
using the conda-pypi beta. Get started:
https://docs.conda.io/projects/conda/en/stable/new-features.html
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build_windows (3.11, 2.3)
WARNING conda.conda_pypi.main:notify_externally_managed_future(156):
Did you know? You can install many PyPI packages with conda
using the conda-pypi beta. Get started:
https://docs.conda.io/projects/conda/en/stable/new-features.html
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build_windows (3.12, 2.3)
WARNING conda.conda_pypi.main:notify_externally_managed_future(156):
Did you know? You can install many PyPI packages with conda
using the conda-pypi beta. Get started:
https://docs.conda.io/projects/conda/en/stable/new-features.html
|
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build_windows (3.10, 2.2)
WARNING conda.conda_pypi.main:notify_externally_managed_future(156):
Did you know? You can install many PyPI packages with conda
using the conda-pypi beta. Get started:
https://docs.conda.io/projects/conda/en/stable/new-features.html
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Artifacts
Produced during runtime
| Name | Size | Digest | |
|---|---|---|---|
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mkl_random Linux Python 3.10
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408 KB |
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mkl_random Linux Python 3.11
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430 KB |
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mkl_random Linux Python 3.12
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420 KB |
sha256:4ec1531357fa898da370f10b4213db72a96d02dbc3407fba55982ac3b838505f
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mkl_random Linux Python 3.13
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420 KB |
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mkl_random Linux Python 3.14
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mkl_random Windows Python 3.10
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mkl_random Windows Python 3.11
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360 KB |
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mkl_random Windows Python 3.12
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332 KB |
sha256:c8dd6cdc9930db139507f6190f6520e931bfe578e0771e00633d87201a742906
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mkl_random Windows Python 3.13
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333 KB |
sha256:9240292fd1068ba2d9606bc8effdd7078ac5aef981a6f88c0cb956a2b9298df8
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mkl_random Windows Python 3.14
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334 KB |
sha256:8c701e89c751aefd98e937a882abf7679bd1922703b06911a62a50dacd0568c5
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